Sears’ Big Data Initiatives Shorten Project Timelines Up to 70%

Even in today’s data-hungry analytics environment, collecting and keeping every tiny granule of retail data — down to the level of each individual transaction and web click — might seem like overkill. But Sears Holdings has discovered that data storage costs have gotten low enough, and analytical tools have grown powerful enough, that this approach to big data has shortened the time needed for analytics projects by 60 percent to 70 percent, while also improving promotion conversions, lowering inventory levels and boosting sales.

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